quality-tooling¶
Quality tooling and automation suite for RHOAI component development. Provides five complementary skills that span the full quality lifecycle: repository-wide quality assessment against gold standards, Konflux build simulation for catching failures at PR time, test pattern extraction for generating agent rules, historical bug coverage analysis with Jira integration, and multi-dimensional PR risk assessment with parallel analyzer agents.
The plugin targets Red Hat OpenShift AI repositories and understands RHOAI-specific concerns such as FIPS compliance, hermetic builds, module federation, operator packaging, and cross-repo test dependencies. All skills produce rich output artifacts -- interactive HTML reports, GitHub Actions workflows, or markdown rule files -- that are immediately actionable without manual post-processing.
Plugin Details
- Version: 1.0.0
- Author: Anthony Coughlin
- Category: Evaluation & Testing
- Repository: antowaddle/Red-Hat-Quality-Tiger-Team
- Tags: quality testing ci-cd build-validation analysis
Pipeline¶
Skills¶
| Skill | Description | Invocable |
|---|---|---|
/quality-repo-analysis |
Automated analysis tool that evaluates CI/CD, testing, security, and best practices against gold standards | |
/konflux-build-simulator |
Generate GitHub Actions workflows that simulate Konflux builds at PR time to catch failures before merge | |
/test-rules-generator |
Extract test patterns from existing tests and generate .claude/rules/ documentation for consistency | |
/historical-bug-coverage |
Analyzes historical blocking and critical bugs from Jira, determines what test coverage exists today with deep test inspection and confidence scoring, and generates standalone HTML reports | |
/risk-assessment |
Analyze PR for risk, test coverage, architecture impact, and cross-repo intelligence |
Installation¶
/plugin install quality-tooling@opendatahub-skills
Architecture¶
Each skill operates independently as a standalone analysis pipeline invoked via slash command. The common pattern is: clone or access a target repository, perform deep structural analysis, and generate output artifacts (HTML reports, YAML configs, GitHub Actions workflows, or markdown rule files).
The risk-assessment skill is the most architecturally complex: it uses an orchestrator pattern that launches four parallel sub-agents (risk analyzer, test validator, impact analyzer, cross-repo analyzer) via the Agent tool, then aggregates their results through a decision engine. Shell scripts handle PR extraction, context loading, output verification, and result reporting.
The historical-bug-coverage skill integrates with Jira via environment-configured credentials and uses Python modules for deep test analysis (Jest, Cypress, pytest, Go test), confidence scoring, and HTML report generation.
Several skills share conceptual overlap (quality-repo-analysis and test-rules-generator both analyze test infrastructure) but operate at different abstraction levels -- scoring vs. pattern extraction.